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Multimodal Imaging Brain Markers in Early Adolescence Are Linked with a Physically Active Lifestyle

Journal article

Salvan P. et al, (2021), The Journal of Neuroscience, 41, 1092 - 1104

Detecting connectivity in EEG: A comparative study of data-driven effective connectivity measures.

Journal article

Bakhshayesh H. et al, (2019), Comput Biol Med, 111

Detecting synchrony in EEG: A comparative study of functional connectivity measures.

Journal article

Bakhshayesh H. et al, (2019), Comput Biol Med, 105, 1 - 15

Automated processing pipeline for neonatal diffusion MRI in the developing Human Connectome Project

Journal article

Bastiani M. et al, (2019), NeuroImage, 185, 750 - 763

Improved artefact removal from EEG using Canonical Correlation Analysis and spectral slope

Journal article

Janani AS. et al, (2018), Journal of Neuroscience Methods, 298, 1 - 15

Towards Detecting Connectivity in EEG: A Comparative Study of Parameters of Effective Connectivity Measures on Simulated Data

Conference paper

Bakhshayesh H. et al, (2018), 2018 IEEE-EMBS CONFERENCE ON BIOMEDICAL ENGINEERING AND SCIENCES (IECBES), 297 - 301

Evaluation of a minimum-norm based beamforming technique, sLORETA, for reducing tonic muscle contamination of EEG at sensor level

Journal article

Janani AS. et al, (2017), Journal of Neuroscience Methods, 288, 17 - 28

Hand classification of fMRI ICA noise components

Journal article

Griffanti L. et al, (2017), NeuroImage, 154, 188 - 205

Reducing training requirements through evolutionary based dimension reduction and subject transfer

Journal article

Atyabi A. et al, (2017), Neurocomputing, 224, 19 - 36

Electroencephalographic correlates of states of concentrative meditation

Journal article

DeLosAngeles D. et al, (2016), International Journal of Psychophysiology, 110, 27 - 39

Construction of a neonatal cortical surface atlas using multimodal surface matching

Poster

Bozek J. et al, (2016), 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)

Cross subject mental work load classification from electroencephalographic signals with automatic artifact rejection and muscle pruning

Conference paper

Kunjan S. et al, (2016), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9919 LNAI, 295 - 303

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